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Dynamic public transit accessibility using travel time cubes: Comparing the effects of infrastructure (dis)investments over time

机译:使用出行时间多维数据集的动态公共交通可及性:比较基础设施(分散)投资随时间变化的影响

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We put forward a new data object called the public transit travel time cube and demonstrate how the cube can be used in the analysis of transit travel time changes over space and time. The travel time cube contains the shortest path transit travel time between sets of origins and destinations in the city, at all times of day. Once computed, a wide range of investigations become readily available to the transit planner or transportation researcher. We conduct three demonstrative analyses using travel time cubes for the Wasatch Front, Utah and the Portland region in Oregon. Our studies investigate how travel times were impacted by service cuts and expansions in the two regions respectively and the impact this had on jobs accessibility. We also use the travel time cube to study the last mile problem, and compute the travel time savings and the stability gained by solving the last mile problem with bicycling. The paper concludes with an expanded discussion on the merits of the travel time cube and outlines four avenues for continued research. (C) 2016 Elsevier Ltd. All rights reserved.
机译:我们提出了一个称为公共交通出行时间多维数据集的新数据对象,并演示了该多维数据集如何用于分析公交出行时间随时间和空间变化的情况。 “旅行时间”多维数据集包含一天中所有时间在城市出发地和目的地之间的最短路径过境旅行时间。一旦计算出,运输计划人员或运输研究人员便可以进行广泛的调查。我们使用Wasatch Front,犹他州和俄勒冈州的波特兰地区的旅行时间多维数据集进行了三个演示性分析。我们的研究调查了旅行时间分别受到两个地区服务削减和扩张的影响以及对工作机会的影响。我们还使用旅行时间立方体来研究最后一英里的问题,并计算出节省的旅行时间以及通过骑自行车解决最后一英里问题而获得的稳定性。本文以旅行时间立方体的优点展开了广泛的讨论,并概述了继续研究的四个途径。 (C)2016 Elsevier Ltd.保留所有权利。

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